Julien Beaulieu
Senior Machine Learning Developer at Coveo
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolJulien Beaulieu is a Senior Machine Learning Developer and MLOps practitioner with eight years of experience building, testing, deploying and maintaining production ML applications and infrastructure from Montréal. He combines hands-on engineering—containers, CI/CD, model versioning and deployment—with a strong ML background across NLP, computer vision and explainable AI, demonstrated by modular projects on Streamlit/App Engine and a Detectron2-based CV library. After transitioning from a marketing career, he has repeatedly bridged product and data science, driving measurable impact from A/B testing and analytics to end-to-end ML systems. Julien is also passionate about education: he taught at Le Wagon for three years and collaborated with industry luminaries at Sphere to develop and deliver advanced ML and visualization courses. Colleagues describe him as a practitioner who turns research and prototypes into reliable, production-ready pipelines while keeping learning and clear communication central to his approach.
8 years of coding experience
6 years of employment as a software developer
Natural Language Processing Specialization, Machine learning, Natural Language Processing Specialization, Machine learning at Courserafast.aiNanodegree, Data Analyst / Data Scientist, Nanodegree, Data Analyst / Data Scientist at UdacityM.sc, E-Commerce, M.sc, E-Commerce at Université de Montréal - HEC MontréalStanford CS224n: Natural Language Processing with Deep Learning
English, French, Spanish
Stackoverflow
29reputation
4kreached
0answers
8questions
Github Skills (32)
grapheme9
diacritics9
classify8
bengali7
effort7
classification7
mi6
gam6
bayesian6
mixed-models6
ggplot6
pipeline6
nlme6
mgcv6
brms6
Programming languages (3)
Github contributions (5)
opencurriculai/data_science_curriculum
Aug 2022 - Aug 2022
Contributions:36 commits in 12 days
Julienbeaulieu/document-summarization
Sep 2020 - Jun 2024
New York Times article summarization app - model is fine tuned on a news dataset. Project includes a modular & extensible training workflow, built-in experiment management, unit tests, linting scripts, automated testing with CircleCI, model versioning and Docker. App hosted on Goolge App Engine with Streamlit front end.
Contributions:2 releases, 3 PRs, 49 pushes in 3 years 9 months
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